Data & Data Culture

New research points to a strong, multidimensional link between AI use and improvements in organizational culture.

The collective intelligence of remote teams, synthetic data for machine learning, and delegation to bridge virtual distance.

AI techniques can generate training data that retains the predictive power of real-world data.

Kay Firth-Butterfield (the World Economic Forum), Ya Xu (LinkedIn), and Charlotte Degot (BCG GAMMA) join MIT SMR senior project editor Allison Ryder for a discussion on innovating with artificial intelligence.

Fostering tech-mediated collaboration, dignity in employee data use, and in-house social intrapreneurship.

Companies that manage employee data responsibly are better able to grow trust across the company while gaining insights.

DBS Bank’s CEO exemplifies how a willingness to experiment and even fail can help advance new technologies like AI.

Making your organization fit for data, enhancing value with nontraditional stakeholders, and supporting working parents.

New research highlights nine key factors impeding organizations’ ability to advance their data science progress.

New value creation with strategic data assets, in-store shopping to build customer loyalty, and habits to enable enduring culture change.

To monetize data, companies must first transform it so it can be reused and recombined to create new value.

Six strategies can help guide data science teams toward greater success in cross-unit projects.

The data science management process, job moves for pay equity, and political concerns in M&As.

In this webinar, speakers discuss the benefits and pitfalls of monitoring in-person and remote workers.

Moderna’s chief data and AI officer explains how AI helped the pharma company develop a COVID-19 vaccine in record time.

Organizations should manage data science with an appropriate structure and enterprisewide process.

Many organizations have challenges with deploying AI. Wealth management is a clear exception.

There’s power in integrating subscription-based software, platform marketplaces, and machine learning.

Elizabeth Renieris of the Notre Dame-IBM Technology Ethics Lab discusses how businesses can responsibly govern AI projects.

PepsiCo’s Colin Lenaghan discusses AI’s role in the company’s pricing strategy and ongoing digital transformation.